Using Adaptive Turnaround Documents to Electronically Acquire Structured Data in Clinical Settings
Identifieur interne : 000113 ( Pmc/Corpus ); précédent : 000112; suivant : 000114Using Adaptive Turnaround Documents to Electronically Acquire Structured Data in Clinical Settings
Auteurs : Paul G. Biondich ; Vibha Anand ; Stephen M. Downs ; Clement J. McdonaldSource :
- AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2003.
Abstract
We developed adaptive turnaround documents (ATDs) to address longstanding challenges inherent in acquiring structured data at the point of care. These computer-generated paper forms both request and receive patient tailored information specifically for electronic storage. In our pilot, we evaluated the usability, accuracy, and user acceptance of an ATD designed to enrich a pediatric preventative care decision support system. The system had an overall digit recognition rate of 98.6% (95% CI: 98.3 to 98.9) and a marksense accuracy of 99.2% (95% CI: 99.1 to 99.3). More importantly, the system reliably extracted all data from 56.6% (95% CI: 53.3 to 59.9) of our pilot forms without the need for a verification step. These results translate to a minimal workflow burden to end users. This suggests that ATDs can serve as an inexpensive, workflow-sensitive means of structured data acquisition in the clinical setting.
Url:
PubMed: 14728139
PubMed Central: 1480055
Links to Exploration step
PMC:1480055***** Acces problem to record *****\Le document en format XML
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000113 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000113 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Pmc |étape= Corpus |type= RBID |clé= PMC:1480055 |texte= Using Adaptive Turnaround Documents to Electronically Acquire Structured Data in Clinical Settings }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i -Sk "pubmed:14728139" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd \ | NlmPubMed2Wicri -a OcrV1
This area was generated with Dilib version V0.6.32. |